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Relationship management evolves with dynamic and complex environments of megaprojects. However, studies on the longitudinal measurement of relationship management performance for each stakeholder in dynamic and complex project environments are lacking. The purpose of this research is to propose an NK-network evolution model to evaluate stakeholder performance on relationship management in the development of megaprojects.

The model input includes the stakeholder-associated issues and stakeholders' relational strategies, the co-effects of which determine the internal effects of relationship management in megaprojects. The model processing simulates the stakeholder performance of relationship management under the dynamic and complex nature of megaprojects. The NK model shows the dynamic stakeholder interactions on relationship management, whereas the network model presents the complex stakeholder structures of the relationships between stakeholders and relevant issues. The model output is the evolution graph to reveal the weak stakeholder performance on relationship management in the timeline of the project duration.

The research finding reveals that all stakeholders experience the plunge of stakeholder performance of relationship management at the decision-making moment of the planning stage. Construction, environmental and pressure groups may experience the hardship of relationship management at the start of the construction stage. The government is likely to suffer difficulties in relationship management in the late construction stage. Local industry groups would face challenges in relationship management in the middle of the construction stage and handover stage.

The research provides a useful approach to measuring weak moments of relationship management for each stakeholder in various project phases, considering the dynamic and complex environments of megaprojects. The proposed model extends the current knowledge body on how to make project stakeholder analysis by modelling dynamic and complex environments of megaprojects, with bridging the knowledge domains of evolution modeling techniques and network methods.

This study aims to develop an improved understanding of the formation of citizens' purchase intention to increase the adoption of prefabricated housing (PH).

An integrative model of the theory of planned behavior (TPB) and norm activation model (NAM) was proposed based on previous studies. To verify the conceptual model, an analysis was conducted after data collection from a questionnaire survey. Lastly, findings were presented by explaining the formation of purchase intention in the egoistic and altruistic contexts. Practical implications were likewise discussed.

Findings manifest that citizens' purchase intention is influenced by egoistic and altruistic cognitions. An effective strategy is to show citizens the pro-environmental features of PH to promote its adoption because they value the environmental performance of housing. Meanwhile, consumers' social fitness also plays an essential role in decision-making, and the dual contradiction in the PH market is revealed.

This study extends the knowledge of psychological decision-making theories in the field of purchase intention toward PH by proposing an integrative framework of TPB and NAM. Results indicate a systematic and comprehensive understanding of consumers' decision-making in the PH domain. Moreover, results of this research contribute to specifying and refining the applicable contexts of TPB and NAM by adding two antecedents: subjective knowledge and environmental concern. This research contributes to the literature by being one of the first to investigate purchase intention toward a high-cost product with invisible technological innovation.

The purpose of this research is to seek better relational strategies between formal and informal stakeholder relationships to improve megaproject performance.

The conceptual model was developed with twenty hypotheses based on the literature review. Then a questionnaire survey was conducted, and the collected data were analyzed by Partial Least squares Structural Equation Modeling (PLS-SEM) for validating the proposed model. Finally, the findings were discussed by a comparative study to explain the different effects of the formal and informal relationship on megaproject performance, and the managerial implications are presented for the stakeholders to implement the relationship management in the megaprojects.

The research finding reveals that formal relationship plays a dominating role in cost, quality, and labor protection; meanwhile, it is still more reliable in improving coordination, safety and environmental protection. Both formal and informal relationship is equally important towards collaboration and scheduling while the informal relationship is more effective in communication and project transparency.

The study extends the knowledge of relationship management in the domain of the megaproject performance. It provides a comprehensive and systematic understanding of the impact of formal and informal stakeholder relationships on ten aspects of the megaproject performance by the proposed conceptual model and PLS-SEM results. The research findings contribute to the theory of relationship management on how the different influences between formal and informal stakeholder relationships lead to better megaproject performance from inter-organizational level to project and societal level.

This study aims to examine how the clickbait headlines influence the perceived source credibility, subjective norm, perceived benefit and purchasing intention of customers on social commerce through social media platforms in different interpersonal relationship strength scenarios.

A total of three studies were employed online to test the hypotheses. Study 1 used a single-factor, two-condition (clickbait: yes vs no) between-subject design. Both study 2 and study 3 employed a 2 (clickbait: yes vs no) × 2 (relationships: close friend vs stranger) between-subject design. All data were sourced randomly from 729 respondents in China. Data and models were analyzed by using SPSS and Mplus.

Study 1 illustrated that clickbait has a negative effect on perceived credibility and purchase intention, and the perceived credibility mediated the relationship between clickbait and purchase intention. Study 2 replicated such finding and demonstrated that the interpersonal relationship strength interacts with the influence from clickbait to purchase intention. Study 3 enhanced the mechanism of source credibility found in the above studies and further revealed that perceived benefit and perceived norm had a mediating role in the purchase-making process online.

Research efforts to date concentrate on how to detect and reduce clickbait headlines. This paper adopts a different perspective, considering the consequences of clickbait in the marketing domain. This study reveals the effects of clickbait on purchase intention and the mechanism behind this process under different scenarios.

This study explores citizens’ acceptance of prefabricated housing (PH) from the perspective of socio-demographic and psychological factors, aiming to reveal the formation of PH acceptance and realize a sustainable development of PH.

This study proposed hypotheses drawing on procedural justice theory and uncertainty management theory. A survey of 245 respondents was conducted, and the collected data was analyzed in a stepwise multiple regression model. Then, the psychological influencing mechanism was demonstrated using a mediation model.

Results of the data analysis manifested that citizens’ acceptance of PH was influenced by socio-demographic and psychological factors, where psychological factors had more significant effects on acceptance than socio-demographic factors. The psychological mechanism was examined by verifying the mediating role of uncertainty between procedural justice and the acceptance of PH. Furthermore, a scientific strategy for developing PH was proposed based on this empirical study.

This study extends the knowledge of procedural justice theory by investigating people’s acceptance in the PH context. This study is also one of the first studies to unveil the psychological mechanism toward a high-cost product with invisible technological innovation. This study contributes to the literature by introducing uncertainty management theory to a controversial issue, examining and expanding its application in a complicated context. Moreover, results highlight the positive influence of fair processes on controversial issues.

With the rapid development of the economy, carbon emissions have also risen sharply. This study explores the relationship between the two by combining the literature of relevant fields and maps the analytical framework from the knowledge base to the research frontier model using CiteSpace.

Using CiteSpace and data statistical tools, we conducted a bibliometric and visual analysis of nearly ten thousand research papers on carbon emissions and economic development published in the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases from 1991 to 2021.

It shows that research on economic development and carbon emissions is developing steadily and involves a wide range of fields. Notably, keywords such as “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. Research institutions in the USA and China have made great contributions to research on economic development and carbon emissions. The authors should continue to enrich and improve research on related subjects and concerns to reasonably plan the path of carbon emission reduction and economic development.

The study analyzes the evolution of the relationship between carbon emissions and economic growth to provide scholars a more comprehensive and in-depth understanding of the relationship from an international perspective.

The objective of this study was to improve understanding of frontline staff's subjective happiness and anxiety during the COVID-19 pandemic by investigating the roles of employees' busy mindset and leader conscientiousness.

The link between employee anxiety and subjective happiness was also explored, and the cross-level mediating effect of employee anxiety was tested using a multilevel design. A survey of 373 frontline staffers and 74 team leaders in the integrated resorts (IRs) was conducted in three waves: April (Time 1), May (Time 2) and June (Time 3) in 2020. The data were analysed with SPSS and Mplus using a hierarchical linear modelling (HLM) method.

The results indicated that during the COVID-19 pandemic, a busy mindset increased frontline staff's anxiety and thus decreased their subjective happiness, and leader conscientiousness remedied the effect of anxiety on subjective happiness.

The findings are relevant to frontline staffers, team leaders in the hospitality industry and corporate service departments. Against the background of COVID-19, conscientious leaders can significantly help employees to overcome their anxiety and insecurity and improve their subjective happiness, answering the urgent call to deal with the challenges of the new work–life environment.

The study differs from previous other studies in two dimensions: First, the authors explored the interactions of the affective events from the cross-level perspectives, i.e. both team level and individual level. Second, the authors conducted this research on the mental issues of the hospitality frontline staffers in the context of the COVID-19 pandemic, which remains a black box to be explored.

Given the heightened imperatives for boosting supply chain resilience (SCR) in industrialized construction (IC), it is essential to explore the correlational impacts of supply chain vulnerabilities (SCV) and supply chain capabilities (SCC) which are the measures of SCR, specifically in Hong Kong where policymakers actively promote IC. Therefore, this study aims to develop a model to explore the correlational impacts of vulnerabilities and capabilities targeting SCR in IC.

After drawing on the general literature on SCR, empirical research using an expert opinion survey was conducted following the methodological framework of this study. The gathered data were then subjected to the partial least squares structural equation modeling process. Thereby, four hypotheses were formulated and tested for 20 capability–vulnerability relationships.

Seven of the 20 statistical relationships tested were identified to be significant. Accordingly, production-based SCV were identified as the most critical disruptions. “Resourcefulness” could substantially withstand production-based SCV, receiving the highest path significance. An “enablers-results framework” for achieving SCR of IC was also developed based on these findings to help industry practitioners with SCR implementation.

To the authors' knowledge, this is the first structured evaluation model that measures the correlational impacts of SCC and SCV targeting SCR in the construction domain. Further, this study adds substantially to the existing SCR and construction “body of knowledge” by proposing a model explaining how various SCV and SCC influence SCR in IC. These findings also inform the industry where and how to deploy critical SCC at appropriate levels, targeting critical SCV, to contain or extirpate them.

Live streaming sales (LSS) is an emerging and flourishing practice in the retail industry. While its implementation has been pervasively attempted, there is a lack of systematic and academic exploration of the practice. Therefore, the aim of this study was to investigate the LSS ecosystem and its development through a literature review and an industry analysis. Moreover, by pinpointing the pitfalls in current practices, this paper presents the practical implications of LSS and provides recommendations and directions for future academic exploration.

The aim of the present study was to investigate the developing trajectory, exclusive elements (such as multi-channel networks (MCNs) and live streamers) and other critical components of the LSS ecosystem using a mixed-methods approach that comprises content analysis of newspaper articles and press releases, literature view and industry analysis.

The results of the analyses indicate the presence of several nonfungible modular components in the LSS ecosystem, including upstream suppliers, MCNs, live streamers and platforms. It was also found that inequalities and hierarchies are inherent to the LSS ecosystem as it currently exists: low-end participants in the LSS industry and small- and medium-sized enterprise owners, who constitute the majority of LSS practitioners, cannot reach the break-even point via LSS hosted by top-level live streamers or others (low-level live streamers, employees, etc.).

This article discusses the LSS ecosystem based on the nature of the nonfungible modules within it. In addition, it discusses the modules (roles) and relationships among them based on the theory of ecosystem developed by previous studies. Furthermore, drawing from an analysis of the pitfalls in the LSS ecosystem, this article highlights strategies for two critical e-commerce processes: 1) choosing which type of LSS to apply based on the factors of brands, products and consumers and 2) integrating LSS to optimize post-sale service and appeal to the sustainability of development.

The importance of sustainable public procurement is growing in many countries and industries, including higher education institutions (HEIs) in China. However, in China, the practice of sustainable public procurement is currently limited due to various reasons. This study aims to identify the main challenges faced by Chinese HEIs when it comes to sustainable public procurement. The identification of the challenges encountered by HEIs in sustainable public procurement practices not only has practical significance in terms of improving efficiency, sustainability, competitiveness and guiding policymaking but also has theoretical significance in terms of enriching the knowledge body, facilitating the dissemination of sustainability and supporting international comparative research. To identify these challenges, the study gathered data from a small sample of procurement supervisors, experts and commissioners in HEIs using the Delphi method. The study concludes that Chinese HEIs can address the challenges of sustainable public procurement through measures such as fundraising, technology and equipment upgrading, supply chain optimization, regulatory compliance and raising awareness and providing training.

To pinpoint the challenges of sustainable public procurement faced by HEIs in China, this study began by obtaining data from a small sample of procurement supervisors, experts and commissioners in HEIs who are knowledgeable about the issue through the Delphi method. Secondly, the collected challenge factors were also subjected to a literature review to identify the most common challenges in recent papers published around the world. Thus, it was possible to assess the relationship between the challenges mentioned by researchers in China and other countries.

The main challenges faced by HEIs in China in implementing sustainable public procurement are the focus on economic efficiency, the experience and awareness of procurement staff, policy ambiguity as well as culture, management mechanisms and leadership attitudes in the organizations. The study concludes that Chinese HEIs can effectively overcome the challenges of implementing sustainable public procurement through a variety of measures, including fundraising, technology and equipment upgrading, supply chain optimization, regulatory compliance and awareness raising and training.

Some limitations should be considered in this study. Judging by the sample size, it is clear that the results of the study are limited. Although the number of experts involved in the study is required, caution should be exercised when generalizing the results, as this may not be representative of the entire population. In future studies, the use of a larger sample size could be considered to overcome this problem. Related to this limitation is the uneven geographical distribution of the sample, and this study only considered the situation of HEIs in Jiangsu Province, China, which is not representative of the national region.

The practical significance can be seen in two aspects. First, accurately identifying challenges can help HEIs optimize the implementation of their sustainable purchasing policies, leading to more efficient resource allocation and reduced unnecessary resource consumption. Second, by addressing these challenges, HEIs can better fulfill their social role in sustainable development, contributing to the triple bottom line of the economy, environment and society. Implementing sustainable procurement strategies not only enhances the social image of HEIs but also attracts a broader student base and financial support, ultimately improving their competitive position in the education market. A deeper understanding of these challenges provides policymakers with a basis to develop a more operational and targeted policy framework to support sustainable procurement in HEIs.

This study succeeded in answering two research questions that provide practical implications for public procurement practitioners, researchers and policymakers. Although HEIs in China do not practice sustainable public procurement at a high rate, however, with the spread of sustainability and environmental awareness, more and more HEIs are beginning to realize the importance of sustainability and are gradually taking it into account in their procurement.

The findings of the study not only significantly enrich the existing body of knowledge on sustainable public procurement, but also support the selection of challenge variables that must be addressed first to facilitate the application of sustainable procurement in China’s HEIs.